Who ever is advising @MattHancock does not know what a false positive is. It is the percentage of tests done that will be positive. At 1% it would mean half of current cases have been misdiagnosed.https://twitter.com/talkRADIO/status/1306916231170191361 …
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False positives are not just a result of the testing process. They are also a function of the population being tested. Plus you can't take a minimum value - it will tend to a mean.
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For example, if you imagined a population all infected with SARS1, you would expect them to have a higher false positive rate than a healthy population.
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Two things: - you have to know if they double-checked. Retests highly likely if you have only 110 positives - you ignore randomness. 99.94% is not lower bound as this could differ in another sample (CIs are important here) Agree with the point though.
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